Get tracking email settings

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered by structured data. The description adds semantic meaning for each returned field (e.g. 'delay: when it goes out after the label is bought'), which is genuinely useful context. It says nothing about scope (account-wide vs. per-store) or error behavior, so it stops short of rich behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short and has no filler, but it is not front-loaded: the opening sentence is a fragment that reads like a continuation, and the reader must reach the field list to understand this is a settings read. 'delay_label as Pirate Ship shows it' is internal jargon that costs a sentence without adding much precision.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so documenting the four returned fields (enabled, delay, branding, default_template_id) is exactly the right compensation and is largely present. Missing only the shape (a single settings object) and the scope of the settings (account-level?). Given zero parameters and full annotation coverage, this is close to complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline is 4. The field explanations it does provide describe return values rather than inputs, which is appropriate for a no-arg getter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description never states a verb or framing like 'Returns the account's default tracking-email settings'; it opens with a sentence fragment describing the subject matter. The field list (enabled, delay, branding, default_template_id) does imply a read of tracking-email configuration, so purpose is inferable but not stated. It is distinguishable from update_tracking_email_settings only by the tool name, not the text.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this versus update_tracking_email_settings (the obvious mutation counterpart) or list_email_templates, even though the description mentions templates. The only routing hint is that default_template_id comes 'from list_email_templates', which is a reference, not a usage rule. No preconditions or exclusions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.